Evidence map›Paper›PMID 31786561›Full record

ReviewNeurosurgical focus2019

Resting-state network mapping in neurosurgical practice: a review.

Carl D Hacker, Jarod L Roland, Albert H Kim, Joshua S Shimony, Eric C Leuthardt

Abstract readCase ReportsReview
In one paragraph

Review in Neurosurgical focus, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  4. Article
  5. Review
  6. Article
  7. Article
  8. Resting-state functional MRI in pediatric epilepsy: a narrative review.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2025
    Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Functional imaging of the exposed brain.Frontiers in neuroscience · 2023
    Review
  17. Review
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Carl D HackerDepartments of1Neurological Surgery and.
Jarod L Roland2Department of Neurosurgery, University of California, San Francisco, California.
Albert H KimDepartments of1Neurological Surgery and.
Joshua S Shimony3Radiology, Washington University School of Medicine, St. Louis, Missouri; and.
Eric C LeuthardtDepartments of1Neurological Surgery and.

Funding

MAPPING ELOQUENT CORTEX USING RESTING STATE CORTICAL PHYSIOLOGYR21CA159470 · NCI · WASHINGTON UNIVERSITY · PI LEUTHARDT, ERIC CLAUDE, SHIMONY, JOSHUA S · 2011 to 2012
$624k
NCI NIH HHS R21 CA159470
6 · The paper itself

Abstract

Resting-state functional MRI (rs-fMRI) is a well-established method for studying intrinsic connectivity and mapping the topography of functional networks in the human brain. In the clinical setting, rs-fMRI has been used to define functional topography, typically language and motor systems, in the context of preoperative planning for neurosurgery. Intraoperative mapping of critical speech and motor areas with electrocortical stimulation (ECS) remains standard practice, but preoperative noninvasive mapping has the potential to reduce operative time and provide functional localization when awake mapping is not feasible. Task-based fMRI has historically been used for this purpose, but it can be limited by the young age of the patient, cognitive impairment, poor cooperation, and need for sedation. Resting-state fMRI allows reliable analysis of all functional networks with a single study and is inherently independent of factors affecting task performance. In this review, the authors provide a summary of the theory and methods for resting-state network mapping. They provide case examples illustrating clinical implementation and discuss limitations of rs-fMRI and review available data regarding performance in comparison to ECS. Finally, they discuss novel opportunities for future clinical applications and prospects for rs-fMRI beyond mapping of regions to avoid during surgery but, instead, as a tool to guide novel network-based therapies.

Indexed as

AdultBrain MappingBrain NeoplasmsConnectomeElectric StimulationFalse Negative ReactionsFalse Positive ReactionsForecastingFrontal LobeGlioblastomaHumansIncidental FindingsMagnetic Resonance ImagingMaleNerve NetOligodendrogliomaBOLD = blood oxygen level–dependentECS = electrocortical stimulationfMRIfMRI = functional MRIfunctional connectivityfunctional mappingMLP = multilayer perceptronresting staters-fMRI = resting-state fMRIRSN = resting-state networkTMS = transcranial magnetic stimulation

Identifiers

PMID31786561
PMCPMC9841914

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.